A performance analysis of association rule mining algorithms

Fageeri, S.O. and Ahmad, R. and Alhussian, H. (2016) A performance analysis of association rule mining algorithms. In: UNSPECIFIED.

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Abstract

In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. Mainly, and according to a previous work, we studied the performance of two main association rules algorithms which exhibits best results interms of execution time and memory usage: Binary-Based algorithm, and Eclat algorithm. The results of the CPU profiler of Java VisualVM showed that Binary-Based algorithm performs better than Eclat algorithm in-terms of both execution times and memory usage. In fact the results showed that Eclat algorithm sometimes even fails to produce any results and reports running out of memory exceptions. © 2016 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 3; Conference of 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125433
Uncontrolled Keywords: Association rules; Bins; Information science, Eclat algorithms; Memory usage; Out-of-memory; Performance analysis; Rule mining algorithms, Data mining
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:18
Last Modified: 09 Nov 2023 16:18
URI: https://khub.utp.edu.my/scholars/id/eprint/6454

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